Elucidating the microscopic and computational techniques to study the structure and pathology of SARS‐CoVs
Article Swipe
Sindhoora Kaniyala Melanthota
,
Soumyabrata Banik
,
Ishita Chakraborty
,
Sparsha Pallen
,
Dharshini Gopal
,
Shweta Chakrabarti
,
Nirmal Mazumder
·
YOU?
·
· 2020
· Open Access
·
· DOI: https://doi.org/10.1002/jemt.23551
YOU?
·
· 2020
· Open Access
·
· DOI: https://doi.org/10.1002/jemt.23551
Severe Acute Respiratory Syndrome Coronaviruses (SARS‐CoVs), causative of major outbreaks in the past two decades, has claimed many lives all over the world. The virus effectively spreads through saliva aerosols or nasal discharge from an infected person. Currently, no specific vaccines or treatments exist for coronavirus; however, several attempts are being made to develop possible treatments. Hence, it is important to study the viral structure and life cycle to understand its functionality, activity, and infectious nature. Further, such studies can aid in the development of vaccinations against this virus. Microscopy plays an important role in examining the structure and topology of the virus as well as pathogenesis in infected host cells. This review deals with different microscopy techniques including electron microscopy, atomic force microscopy, fluorescence microscopy as well as computational methods to elucidate various prospects of this life‐threatening virus.
Related Topics
Concepts
Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)
Biology
Computational biology
Pathology
Coronavirus disease 2019 (COVID-19)
Cell biology
Medicine
Disease
Infectious disease (medical specialty)
Metadata
- Type
- review
- Language
- en
- Landing Page
- https://doi.org/10.1002/jemt.23551
- OA Status
- green
- Cited By
- 17
- References
- 72
- Related Works
- 10
- OpenAlex ID
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All OpenAlex metadata
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https://openalex.org/W3048213158Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1002/jemt.23551Digital Object Identifier
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Elucidating the microscopic and computational techniques to study the structure and pathology of
SARS‐CoVs Work title - Type
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reviewOpenAlex work type
- Language
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enPrimary language
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2020Year of publication
- Publication date
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2020-08-07Full publication date if available
- Authors
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Sindhoora Kaniyala Melanthota, Soumyabrata Banik, Ishita Chakraborty, Sparsha Pallen, Dharshini Gopal, Shweta Chakrabarti, Nirmal MazumderList of authors in order
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https://doi.org/10.1002/jemt.23551Publisher landing page
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YesWhether a free full text is available
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greenOpen access status per OpenAlex
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https://www.ncbi.nlm.nih.gov/pmc/articles/7436590Direct OA link when available
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Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), Biology, Computational biology, Pathology, Coronavirus disease 2019 (COVID-19), Cell biology, Medicine, Disease, Infectious disease (medical specialty)Top concepts (fields/topics) attached by OpenAlex
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17Total citation count in OpenAlex
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2025: 3, 2024: 3, 2023: 2, 2022: 4, 2021: 4Per-year citation counts (last 5 years)
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10Other works algorithmically related by OpenAlex
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